KPIs serve as the magic formula to getting better insights into your company's data. At times you might feel as if there is too much data to handle when trying to create your optimal Data Visualization. Without clear planning and execution, dashboards can become sources of confusion and distraction, causing you to stress out over a data overload. Here are some tips that won't leave you confused when trying to extract all that pretty data.

Though it is often a challenge to satisfy all the players within your organization, an even bigger challenge is releasing the data that is most relevant to you. Perhaps you should ask yourself, what is the purpose of this examination? This is one factor that is often overlooked, and put too much emphasis on their huge data reserves. Leveraging Big Data is only worthy of value when we have identified the problem that you are trying to solve.

The main KPIs to monitor on our app are (in no particular order): Visits, Bounce Rate, Followers, Retweets, Likes, People Talking About This. Keep track of these and they will allow you to get better insights into how your company's performing. What's more, getting insights from these KPIs go beyond telling you something is wrong; they can tell you what to do. This removes the ambiguity of what you should do next – which can be particularly useful when you're not a regular dashboard user.

As we look towards the future and adding further useful KPIs to our app, we hope that the process of making meaningful data visualizations is not just displaying some things in an aesthetically pleasing way. Rather, being able to shape experiences, and therefore behaviors. One other direction for the future of our dashboards is insights integration alongside data visualizations. The amount of data that you have available is driving the need for more analysts who can pull the data out and make sense of it. The questions that are relevant for business decisions aren't going to change. You always end up managing the main elements of your business on a few key performance metrics. That data may be buried in the client’s servers, and if you have a good brain for analytics, you will eventually find it.